code: def test_mask_generator_layer(self):
      mask = self._mask_generator_layer(
          inputs=self._features, training=False
      )
      expected_mask = [[True, False], [True, True]]
      self.assertAllEqual(expected_mask, mask)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import six
  import tensorflow.compat.v2
  from tensorflow_ranking.python.keras import feature
label_desc: Use image node_id 3 for calling the GenerateMaskTest obj's underlying member method code with example usage: obj.test_mask_generator_layer() without return types